Results 71 to 80 of about 67,243 (217)

Numerical and Experimental Study of High‐Speed Laser Cutting of Copper Current Collectors: Process Optimization for Quality Assessment

Advanced Materials Technologies, EarlyView.
This study employs a CFD model to simulate laser cutting of copper current collectors used for Li‐Ion battery production. This model predicts cut edge quality by assessing the influence of power, scanner speed, and foil thickness. Defects are classified and an optimal working area is found.
Caterina Angeloni, Samuele Piandoro, Erica Liverani, Alessandro Fortunato   +3 more
wiley   +1 more source

Transforming Room Acoustics with Causality‐Driven Dual‐Function Passive Metamaterials

Advanced Materials Technologies, EarlyView.
This work presents an dual acoustic metamaterial for rooms that achieves excellent broadband performance for both sound absorption and sound diffusion. This is done by using causality formulations linking the absorption of the passive system to its volume, yielding an optimal surface area ratio required for excellent sound absorption and while ...
Eric Ballestero, Yang Meng, Ping Sheng, Vincent Tournat, Vicent Romero‐García, Jean‐Philippe Groby   +5 more
wiley   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications

Advanced Materials Technologies, EarlyView.
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin, Houxin Fan, Zhenchao Liu, Paolo Donati, Youssef Amin, Yap Wing Fen, Junbo Liang, Pier Paolo Pompa, Sailing He   +8 more
wiley   +1 more source

The Impact of Donor‐Orientation on the Emission Properties of Chlorinated Trityl Radicals

Advanced Optical Materials, EarlyView.
Chlorinated trityl radicals with electron‐donating groups enable efficient red emission for optoelectronics. Donor orientation and steric constraints regulate vibronic coupling, influencing luminescence. A novel trityl derivative with restricted donor alignment minimizes non‐radiative decay, enhancing quantum yield.
Mona E. Arnold, Robert Toews, Lars Schneider, Jonas Schmid, Miftahussurur Hamidi Putra, Michael Busch, Axel Groß, Felix Deschler, Andreas Köhn, Alexander J. C. Kuehne   +9 more
wiley   +1 more source

Spin‐Orbit Photonics with Potato Starch Lenses

Advanced Optical Materials, EarlyView.
Native potato starch spherulites are introduced as volumetric optical elements that modulate both dynamic and geometric phases of light. These spherulites focus light and generate optical vortices via spin‐orbit interaction, functioning as polarization‐sensitive microlenses. Their unique radial anisotropy enables applications in vortex beam generation,
Petr Bouchal, Petr Viewegh, Petr Liška, Radim Chmelík, Zdeněk Bouchal   +4 more
wiley   +1 more source

Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network‐Based fs Laser Pulsed Parameter Estimation for MoOx Formation

Advanced Photonics Research, EarlyView.
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel, Miroslava Cano‐Lara, Andres A. Garcia‐Granada, Andres Espinal, Marcos J. Villaseñor‐Aguilar, Leonardo Martinez‐Jimenez, Horacio Rostro‐Gonzalez   +6 more
wiley   +1 more source

Analysis of Band Effects in One‐Dimensional Periodic Lattices Using an Enhanced Homogenization Method

Advanced Photonics Research, EarlyView.
An enhanced homogenization method for periodic lattices, applicable to any asymmetrical multipart structures, is proposed. This method simplifies intricate gratings into slab waveguides, predicts guided‐mode resonances and bound states in the continuum, without relying on numerical methods.
Atefe Taheri, Mehrdad Shokooh‐Saremi
wiley   +1 more source

Retracted: Considering Computational Mathematics IGHG3 as Malignant Melanoma Is Associated with Immune Infiltration of Malignant Melanoma. [PDF]

Biomed Res Int
International BR.
europepmc   +1 more source

Low‐Loss Parowax‐Imprinted Diffractive Neural Network for Orbital Angular Momentum Terahertz Holographic Imaging

Advanced Photonics Research, EarlyView.
This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia, Miguel A. Gomez, Steve Blair, Michael A. Scarpulla, Berardi Sensale‐Rodriguez   +4 more
wiley   +1 more source